Research on Intelligent Clothing Design Based on Clothing Graphic Image Segmentation Processing

  • Zixing Li, Jian Sun, Lihua Gong

Abstract

Image segmentation technology has been broadly applied in medical, biological, industrial automation, military security, textile and clothing, etc. This paper summarizes the common clothing image segmentation methods, expounds the research and application of image segmentation technology in fabric defect inspection, fabric pattern contour extraction, clothing pattern and clothing image contour extraction, clothing style drawing extraction, clothing profile recognition, clothing image retrieval, etc., and points out the development trend of this technology in the field of clothing. By resorting to the image segmentation technology, clothing style information and structural elements can be speedily extracted from clothing images, so as to improve the efficiency of style design and plate making, and promote the intelligent and integrated development of clothing industry. The paper provides a reference for the further research of image segmentation and extraction technology in the field of intellectualization and automation in the clothing industry, and looks into distance of the research and application of this technology in the field of clothing and its future development trend.

Published
2020-12-30
How to Cite
Zixing Li, Jian Sun, Lihua Gong. (2020). Research on Intelligent Clothing Design Based on Clothing Graphic Image Segmentation Processing. Design Engineering, 974 - 985. Retrieved from http://thedesignengineering.com/index.php/DE/article/view/1053
Section
Articles